6 Digital2014 - Inicio...Title 6_Digital2014 Author Joserra López Created Date 10/31/2015 7:04:32 PM
Misceb digital2014
Transcript of Misceb digital2014
Digital Transformation
E-StrategiesDec. 19th 2014
Preliminary Draft
Productivity is a measure of your ability to act on real-time
information
Agenda
I. CHATII. The New World of WorkIII. Productivity todayIV. Digital WorkspacesV. The Building BlocksVI. The Value PropositionVII. Market metaphoresVIII. The value architect™IX. Conclusion and Perspectives
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Let’s CHAT
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The author suggests that the "Quantified Self" movement is about self knowledge. What does he want to know about himself?
Describe one of the applications described in the article (audience, data sources, interface, use scenarios, observations).
The article points out the fallacy of "magical thinking". What does this mean and how does this this apply to the Quantified Self?
The article concludes that the goal isn't to do more work, but to do better work. What does this mean to you?
Spying on myself
Richard J. Anderson
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http://intranet-matters.de/resources/intranet-maturity-models/
Definitions
I. InputsII. StatesIII. PerformanceIV. Self-knowledge
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• Your search history• Your search trends• Your contacts• Your location• Your interests and
demographics
Inputs
www.google.com/dashboard
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What do you know about yourself?
• Self –knowledge – what am I like?
• Cognitive, affective, executive self
• Physical, social and physiological worlds
• Impact on how experience is encoded
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Performance = Productivity?
• The mechanical clock
• Harder, better, faster…
• Mechanized productivity
• Knowledge productivity
• Continuous Productivity
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States
• Mental, physical, emotional states• Psychiatry – an indication of one
health • Cognitive psychology – thinking
and feeling• Buddhism – our ability to “color”
the mind
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Contexte
I. The Quantified SelfII. The Qualified SelfIII. Managerial Perspective
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The Quantified Self
• Data mediates the experience of
reality.
• Quantimetric self-tracking and
wearable computers
• Quantimetric self-sensing
• Gary Wolf - the Quantified Self
Early prototype of "Quantimetric Self-Sensing" apparatus, 1996
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The Qualified Self
• Pythagoras of Samos - number is the key to reality
• Immanuel Kant - reality is comprehensible through categories of significance (schemata)
• Michel Foucault: - technologies of the Self
• Martin Heidegger - care of the self before care of others
• Timothy Leary – «turn on, tune in, drop out”
• Steve Mann: - Souveillance vs. Surveillanc
QS as way of sharing meaning rather than quantifying the individual?
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Managerial Perspective
Frame
Cloud
Figure (s)
Oracle
Leon Battista Alberti
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Application Domains
I. Health and Well-beingII. Personal and Group
ProductivityIII. EducationIV. Social Interaction
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Health and Well Being
• Mobile devices and embedded sensors can track heart rate, blood sugar, caloric intake, sleep quality…. .
• Capters can beam data to cloud databases, which send advice to consumers
• There is a real need in health-care to cut down the number of unnecessary medical visits
• Google has funded 23andMe Inc., Fitbit has drawn $43 million from investment firms
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Personal and Group Productivity
• People have been keeping checklists and to do’s for decades
• Ask the right question and then find the right mix between curiosity and measurable data
• RescueTime led writer Gina Trapani to switch to a standing desk and WordPress creator Matt Mullenweg do impose new email rules.
• Mint for tracking where every Euro and cent goes.
• MoodPanda for noting on a simple 1-10 scale how you’re feeling
• PlaceMe, for automated location tracking system
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Education
• Track what you read – when, what, where you stop, what you highlight, what you annotate
• Track what you write - how many words, how many pages, what and when you write….
• Track how you learn - who you listen to , what you say, how you search….
• Technology can enable real-time feedback• Santa Monica College’s Glass Classroom,
Stanford’s Multimodal Learning Analytics • Do something with what you discover
http://www.edudemic.com/learning-analytics-in-education/
http://glassclassroom.blogspot.fr/2012/12/the-glass-classroom-big-data.html
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• Using data for personal meaning challenge our ideas about human connection
• Social networks like Facebook and Twitter transform our social interactions into quantifiable data streams
• Social Graph - interactions between people in a social network
• Is it possible to track emotions, passions and memories?
• Could QS help us live together in a sustainable way?
Social Interaction
Will our communities be looking after us, taking care, encouraging us, as well as discipline us? Joerg Blumtritt
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Technologies
I. Big Data, Little DataII. Cloud ComputingIII. Open DataIV. Sensors and CaptersV. Visualisation
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Big Data, Little Data
• Examples• Walmart : 1 million transactions/hr• BBC: 7 PB video served/month
• Big Data definition: data sets on social interactions that are too complex for traditional DBMS (volume, velocity, variety)
• Little Data : data sets on individual rather collective behavior
• Structured and unstructured data
Source: Mary Meeker, Internet Trends,
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Cloud Computing
• Computing as service rather than a product
• Focuses on maximizing shared resources• Public, private or hybrid• Infrastructure as a service (IaaS)• Platform as a service (PaaS)• Software as a service (SaaS)
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Open Data• The idea that certain data should
be freely available to everyone to use
• Facts cannot legally be copyrighted, but aggregated data can be privately owned.
• Journal publication is an implicit release of the data to the Commons
• Midata, the UK government’s initiative to give consumers access to data about them that is held by brands
Anja Jentzsch
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The Internet of Things• The Internet of things:
Physical objects linked by the Internet that interact through web services
• Usual gadgetry (e.g.; smartphones, tablets) and now everyday objects: cars, food, clothing, appliances, materials, parts, buildings, roads
• Embedded microprocessors in 5% human-constructed objects (2012)1
1Source: Vinge, V. Who’s Afraid of First Movers? The Singularity Summit 2012. http://singularitysummit.com/schedule
Melanie Swan
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Visualization• Study of abstract data to
improve human cognition
• Lévi-Strauss – the world has become so complex that we must “simplify it” to understand it
• Goal of data visualization is to communicate information clearly and efficiently
• Visualization is today a critical component in scientific research, data mining, finance, and market studies
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Case Studies
I. BabolatII. Sensory FashionIII. AsthmapolisIV. Sleep on It
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Babolat
• Tennis is stats heavy : serve percentages, forehand winners, aces, unforced errors
• Give the amateur some way of assessing his or her game
• Hitting the sweet spot 100 % of the time doesn’t mean you’ll win
• Data is often misleading, but winning is often about fractions.
• It does have the potential to change the way we think about coaching
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Sensory Fashion
• Uses fashion and IT to create responsive clothes offering therapeutic value
• Scents as tools to improve mental and physical wellbeing
• A localized ‘scent cloud’ is released to fit specific moods
• Goal is unlock emotional memories and to complement mood monitoring tools for the ‘Quantified Self’
Dr Jenny Tillotson
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Propeller Health
• 8.4% of Americans, or over 25 million people, suffer from asthma.
• Third-leading cause of death in the US with $50 billion associated annual healthcare costs
• Helps researchers pinpoint environmental triggers and monitor the population of asthma suffers
• Attaches to an asthma inhaler and logs the time and geographic location each time its used
• Uncontrolled asthma declines by 50 percent
http://youtu.be/6CH1IxzmwUs
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Zeo
• Sleep is the third pillar of health (with diet and exercise)
• Works on the basis of actigraphy, which is the detection and analysis of muscular movement
• Sleep data reveals how your sleep is related to factors such as diet, stress, and physical activity
• The physical and psychological benefits have yet to be proven
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